ANTHROPIC

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ANTHROPIC
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*Data last updated: 2026-04-19 11:31 (UTC+8)

As of 2026-04-19 11:31, Anthropic (ANTHROPIC) is priced at $0, with a total market cap of --, a P/E ratio of 0,00, and a dividend yield of %0,00. Today, the stock price fluctuated between $0 and $0. The current price is %0,00 above the day's low and %0,00 below the day's high, with a trading volume of --. Over the past 52 weeks, ANTHROPIC has traded between $0 to $0, and the current price is %0,00 away from the 52-week high.

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Anthropic (ANTHROPIC) Latest News

2026-04-18 00:21

Anthropic Receives Nearly 120,000 Author Claims in $1.5B Copyright Settlement

Gate News message, April 18 — Nearly 120,000 authors and copyright holders have filed claims to share in Anthropic's $1.5 billion class-action settlement over the unauthorized use of books in AI training, according to court filings in California. The claims cover 91% of more than 480,000 eligible works. Anthropic is scheduled for a May 14 hearing, where a judge will decide whether to grant final approval to what has been described as the largest settlement in a U.S. copyright case. The lawsuit originated after authors alleged that Anthropic used pirated books to train Claude. In a June 2025 ruling, Judge William Alsup determined that training on legally obtained books was "quintessentially transformative" and constituted fair use. However, the judge found that downloading and storing more than 7 million pirated books from sites such as Library Genesis (LibGen) and Pirate Library Mirror (PiLiMi) to build a central library violated copyright holders' rights, even if those books were not necessarily used for AI training. Settlement eligibility required titles to appear on the court-approved "Works List," meaning they were among the LibGen and PiLiMi files Anthropic downloaded and had been timely registered with the U.S. Copyright Office. This left approximately 482,460 eligible books out of the more than 7 million copies downloaded. The $1.5 billion payout represents less than 1% of Anthropic's $183 billion valuation. Some observers view the settlement as a potential competitive advantage for well-funded AI firms, as smaller companies may struggle to manage similar litigation costs, and the case may accelerate industry adoption of licensed data over pirated sources.

2026-04-18 00:11

Anthropic's Mike Krieger Resigns from Figma Board

Gate News message, April 18 — Anthropic Chief Product Officer Mike Krieger has stepped down from Figma's board, according to an SEC filing disclosed by the design software company on April 14. Figma stated the departure was not linked to any disagreement over its operations, policies, or practices. Krieger joined Anthropic in 2024 and moved to its Labs team in January. The resignation follows Figma's February partnership with Anthropic to integrate Claude AI models as design assistants within Figma's platform.

2026-04-17 23:01

DeepSeek Seeks $300M at $10B Valuation as OpenAI, Anthropic Valuations Spark Market Debate

Gate News message, April 17 — According to The Information, DeepSeek is in talks to raise at least $300 million at a valuation of $10 billion, a fraction of leading U.S. AI companies: OpenAI commands $852 billion, while Anthropic is valued at up to $800 billion. The valuation gap has sparked investor debate over whether DeepSeek represents a bargain or if American AI firms are overpriced. DeepSeek's R1 model, launched in January 2025, trained for approximately $5.6 million—a fraction of the hundreds of millions typically spent by U.S. laboratories—triggered a market shock that erased nearly $1 trillion in U.S. equity value in a single day, with Nvidia losing close to $600 billion in market capitalization. Since then, performance rankings between U.S. and Chinese models have traded the top position multiple times; as of March 2026, Anthropic's leading model holds just a 2.7% performance advantage, according to Stanford University's 2026 AI Index. On the revenue front, OpenAI reported an annualized run rate of $25 billion in February, while Anthropic surged from $9 billion at end-2025 to $30 billion by March, driven primarily by Claude Code demand. In Q1 2026, just four deals—OpenAI, Anthropic, xAI, and Waymo—accounted for 63% of total capital raised globally. SpaceX-xAI is targeting an IPO valuation potentially exceeding $1.75 trillion, potentially the largest IPO in market history. Some investors have raised concerns about OpenAI's current valuation, with one backer telling the Financial Times that justifying the $852 billion price requires assuming an IPO valuation of $1.2 trillion or more. The extreme valuation gap between DeepSeek and American AI leaders is now raising questions about whether speculative appetite, rather than revenue-generating capability, is driving market prices.

2026-04-17 06:51

Anthropic Partners with TrendAI to Integrate Claude Models into Enterprise AI Security Platform

Gate News message, April 17 — TrendAI, Trend Micro's enterprise AI security unit, announced a strategic partnership with Anthropic to integrate Claude models across its platform for threat research, automation, and AI security operations. The Claude integration will support TrendAI Vision One, the TrendAI Zero Day Initiative, and Pwn2Own, with a focus on identifying vulnerabilities in AI systems and infrastructure before they reach production. TrendAI and Anthropic will appear together at Trend Micro's Spark Leadership Exchange in Phoenix in May, where more than 600 cybersecurity leaders are expected to attend. TrendAI serves 575,000 enterprise customers worldwide. The partnership underscores the broader industry shift toward AI security, which encompasses both protecting AI systems and leveraging AI for defensive operations.

2026-04-17 01:41

Anthropic Expands London Team to 800 Staff in AI Growth Push

Gate News message, April 17 — Anthropic plans to expand its London office to accommodate 800 staff, up from over 200 currently, marking a significant growth in the city's Knowledge Quarter. The expansion comes days after OpenAI announced plans to establish its first permanent office in the UK capital. Anthropc describes London as one of its most important research and commercial hubs outside the United States. The new site will position the AI company near other major players in the region, including OpenAI, Google DeepMind, Meta, Synthesia, and Wayve, strengthening London's role as a leading AI hub. The expansion reflects Anthropic's enterprise-focused strategy, with approximately 85% of its revenue generated from business customers. London's growth as an AI destination is supported by UK government incentives, including competitive research and development tax credits, as well as a deep talent pool—the city has more engineers than any other European city.

Hot Posts About Anthropic (ANTHROPIC)

Luna_Star

Luna_Star

10 minutes ago
#AnthropicvsOpenAIHeatsUp THE AI WAR ENTERS ITS MOST CRITICAL PHASE: OPENAI VS ANTHROPIC FULL BREAKDOWN The artificial intelligence industry is no longer in its experimental phase — it has officially entered a high-stakes global power battle, and at the center of it are two dominant forces: OpenAI and Anthropic. What started as a shared vision to advance AI has now evolved into one of the most intense rivalries in modern tech history. This is not just about chatbots anymore. This is about who will control the infrastructure layer of intelligence itself — the systems that will power businesses, governments, economies, and everyday human interaction. --- MARKET OVERVIEW: TWO GIANTS, TWO COMPLETELY DIFFERENT STRATEGIES At a macro level, the AI market is currently being shaped by two fundamentally different approaches. OpenAI has positioned itself as a full-stack AI ecosystem builder. From consumer applications to enterprise APIs, from multimodal models to developer tools, its goal is clear: dominate scale, distribution, and accessibility. Products like ChatGPT have already reached hundreds of millions of users, giving OpenAI an unmatched advantage in global adoption. On the other side, Anthropic is executing a precision-focused, safety-first strategy. Its flagship AI family, Claude, is designed with deep reasoning, alignment, and reliability at its core. Instead of chasing mass adoption early, Anthropic is targeting high-value enterprise clients and regulated industries where trust and predictability matter more than speed. This divergence is critical — because it means the market is not choosing one winner yet. It is splitting based on use-case demand. --- MODEL WAR: GPT vs CLAUDE — PERFORMANCE, POWER, AND DIFFERENT PHILOSOPHIES The competition is now happening at the model level, where performance differences define real-world adoption. OpenAI’s GPT series continues to lead in multimodal capabilities, coding execution, and real-world integration. These models are optimized for versatility — they can write, code, analyze, generate images, and integrate into apps at scale. Anthropic’s Claude models, however, are dominating in long-context reasoning and structured thinking. With context windows reaching near-million token ranges, Claude is particularly powerful in tasks like legal analysis, research synthesis, and enterprise documentation. This creates a very important dynamic: Developers and companies are increasingly using both systems together, rather than choosing one exclusively. This is not a winner-takes-all market — it is becoming a dual-stack AI ecosystem. --- ENTERPRISE BATTLEFIELD: WHERE THE REAL WAR IS HAPPENING While the public focuses on chatbots, the real competition is unfolding behind the scenes — in enterprise adoption. Large corporations, financial institutions, and governments are now actively integrating AI into their core operations. And this is where Anthropic is making aggressive moves. Reports suggest that Anthropic is capturing a significant share of new enterprise AI deals, particularly in sectors like finance, cybersecurity, and compliance-heavy industries. Its emphasis on safety, interpretability, and controlled outputs makes it highly attractive for organizations where mistakes are costly. OpenAI, however, is not backing down. It is rapidly expanding its enterprise offerings, integrating AI into productivity tools, APIs, and business workflows at an unprecedented pace. Its advantage lies in ecosystem depth and developer accessibility. The result? A direct collision in enterprise AI infrastructure — one focused on trust, the other on scale. --- PRODUCT WAR: FEATURE-BY-FEATURE ESCALATION This rivalry is no longer subtle — it is direct and highly competitive. Every major release from OpenAI is now being countered by Anthropic, and vice versa. Coding tools, AI agents, automation systems, reasoning upgrades — both companies are pushing updates at an accelerated pace. OpenAI continues to expand capabilities across multiple domains, including automation, real-time interaction, and multimodal intelligence. Anthropic, meanwhile, is doubling down on alignment research, controllability, and deep reasoning performance, aiming to create systems that are not just powerful, but dependable under pressure. This constant back-and-forth is accelerating innovation across the entire AI industry. --- THE SAFETY VS SCALE DEBATE: A PHILOSOPHICAL DIVIDE At the heart of this rivalry lies a deeper question: How should artificial intelligence evolve? Anthropic strongly advocates for a safety-first approach — ensuring AI systems are aligned, interpretable, and controlled before scaling them globally. OpenAI, while also investing in safety, is pushing forward with rapid deployment and iterative improvement, believing that real-world usage is essential for refining AI systems. This debate is not just technical — it is ethical, political, and global. Governments and regulators are increasingly getting involved, recognizing that AI will shape future economies and societies. --- MARKET NUMBERS: THE SCALE OF THIS RIVALRY The financial scale of this competition is massive and still growing rapidly. OpenAI has reached an estimated valuation in the hundreds of billions, supported by massive adoption and strategic partnerships. Anthropic, while smaller in comparison, is experiencing explosive growth, with rapid increases in both valuation and enterprise revenue. Investment is pouring into both companies from major tech players, signaling that the industry views this as a long-term, high-stakes race rather than a short-term trend. --- ECOSYSTEM IMPACT: WHAT THIS MEANS FOR THE FUTURE This rivalry is doing something unprecedented — it is accelerating the entire AI ecosystem simultaneously. Startups, developers, and enterprises now have access to multiple high-performance AI systems, each with different strengths. This increases innovation, reduces dependency on a single provider, and creates a more competitive environment. It also means that future applications — from autonomous agents to AI-powered businesses — will likely be built on hybrid architectures, combining the strengths of multiple AI providers. --- RISKS AND UNCERTAINTIES Despite the rapid growth, the AI race is not without risks. Regulatory pressure is increasing globally. Governments are concerned about data privacy, misinformation, and AI control. There is also the risk of over-reliance on AI systems, as well as the challenge of ensuring alignment with human values. Additionally, the speed of innovation raises concerns about long-term safety and unintended consequences. This is not just a technological race — it is a responsibility race. --- FINAL INSIGHT: THERE IS NO CLEAR WINNER — YET At this stage, declaring a winner would be premature. OpenAI dominates global reach, ecosystem scale, and consumer adoption. Anthropic leads in enterprise trust, deep reasoning, and safety-focused deployment. Both are winning — just in different arenas. --- CONCLUSION: A DEFINING MOMENT IN TECHNOLOGY HISTORY The rivalry between OpenAI and Anthropic is shaping up to be one of the most important technological battles of our time. It is redefining how intelligence is built, distributed, and controlled. It is influencing how businesses operate, how governments regulate, and how individuals interact with technology. And most importantly — it is setting the foundation for the next decade of innovation. This is not just competition. This is the construction of the future. #AnthropicvsOpenAIHeatsUp #TechBattle #ArtificialIntelligence
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MrFlower_XingChen

MrFlower_XingChen

22 minutes ago
#AnthropicvsOpenAIHeatsUp 📊 | Market Dynamics: From Relief Rally to Structural Momentum The late-March inflection point was not just another dip-buying opportunity—it marked a deeper psychological reset across global markets. What initially appeared to be a “relief rally” following geopolitical de-escalation quickly transitioned into something far more durable: a momentum-driven reallocation of capital. Investors are no longer reacting to fear—they are repositioning around clarity. With the removal of immediate macro uncertainty, capital has begun flowing with intent rather than hesitation, shifting the market from reactive behavior to forward-looking conviction. At the center of this shift lies an evolving macro narrative where risk is no longer binary. Oil hovering near elevated levels is a perfect example of this transformation. Traditionally, such pricing would signal economic strain and compress consumer demand expectations. However, in the current environment, oil is being interpreted differently—not as a threat, but as a priced-in constant. Markets are no longer asking, “Will this get worse?” but instead, “Can growth persist despite it?” That subtle shift in questioning is what separates fragile rallies from sustainable trends. Simultaneously, equity markets—particularly those driven by mega-cap innovation—are exerting a gravitational pull on global liquidity. Companies deeply embedded in artificial intelligence, cloud infrastructure, and automation are no longer speculative growth plays; they are being treated as foundational pillars of the modern economy. Firms like OpenAI and Anthropic symbolize this shift, as competition between them accelerates not just technological advancement, but also capital deployment at unprecedented scale. This leads directly into what may be the most defining feature of 2026 markets: the $650 billion AI capital expenditure wave. We are no longer in the conceptual phase of artificial intelligence. The transition from theoretical models and presentations into real infrastructure—data centers, custom silicon, energy grids, and enterprise integration—is now fully underway. This massive capital injection is acting as a structural floor beneath the market, absorbing volatility and reinforcing long-term bullish sentiment. It is not just spending—it is system-building. Interestingly, while equities surge ahead, the crypto market reveals a more nuanced behavior pattern. Digital assets are not lagging due to ضعف (weakness), but rather due to liquidity sequencing. Capital typically enters through the most secure and recognized gateway, which remains Bitcoin. Acting as a macro hedge and digital store of value, Bitcoin absorbs early inflows during uncertainty transitions. Only after stability and confidence increase does liquidity cascade into higher-risk assets. This explains the relative positioning of Ethereum and Solana. Ethereum, while underperforming in short-term price action, is quietly strengthening its institutional narrative through staking yields and network upgrades. It is becoming the “infrastructure layer” of decentralized finance—less exciting in hype cycles, but critical in long-term value accrual. Solana, on the other hand, represents the opposite end of the spectrum: speed, accessibility, and high-beta exposure. When retail momentum ignites, it often becomes the fastest-moving asset due to its lower entry friction and vibrant ecosystem. Zooming out, this dynamic reveals a broader truth: markets are becoming increasingly layered. Capital does not move randomly—it flows in phases. First into safety, then into growth, and finally into speculation. Understanding this sequence is becoming one of the most valuable strategic advantages for traders navigating modern financial systems. However, beneath this bullish structure lies a delicate balancing act. The bond market, particularly the movement of the 10-year Treasury yield, remains a critical pressure point. If yields begin to rise aggressively—especially beyond key thresholds like 4.3%—they introduce a competing force for capital. Higher yields offer risk-free returns, pulling liquidity away from equities and crypto alike. This creates what can be described as a liquidity vacuum, where even fundamentally strong assets face downward pressure due to capital reallocation. Volatility indicators such as the CBOE Volatility Index (VIX) further reflect this balance. As long as volatility remains compressed, markets can sustain upward momentum. Low volatility signals confidence, stability, and a willingness to deploy capital. But any sudden spike acts as a shockwave, forcing rapid repositioning and risk reduction. Geopolitics, while temporarily quiet, still operates as a background variable rather than a resolved issue. Markets do not require perfection—they require predictability. As long as global tensions remain contained and do not escalate unexpectedly, capital will continue to favor growth narratives over defensive positioning. What makes this cycle particularly unique is the convergence of multiple megatrends at once. Artificial intelligence is not just driving tech stocks—it is influencing productivity expectations, reshaping labor markets, and redefining corporate profitability models. Crypto is not just an alternative asset—it is becoming a liquidity extension of global finance. And traditional markets are no longer isolated—they are increasingly interconnected with digital ecosystems. The phrase “the market has stopped dreaming and started auditing” captures the current sentiment perfectly. Investors are no longer satisfied with vision alone—they are demanding execution, revenue, and measurable impact. This is why companies and sectors that can translate innovation into tangible results are attracting disproportionate capital. 🔥 Final Insight We are entering a phase where narratives must be backed by infrastructure, and hype must be validated by performance. The battle between innovation leaders like OpenAI and Anthropic is not just about AI dominance—it is about who will anchor the next generation of economic growth. 💡 In this environment, the winners will not be those who react fastest—but those who understand the flow of capital, the sequencing of liquidity, and the deeper structure behind market momentum. 🚀 The trend is no longer fragile—it is structural. And as long as capital continues to align with real-world impact, the bullish narrative remains firmly intact.
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